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http://dx.doi.org/10.7734/COSEIK.2022.35.3.175

System Target Propagation to Model Order Reduction of a Beam Structure Using Genetic Algorithm  

Jeong, Yong-Min (Center for Advanced Cutting Tool and Processing, Daegu Mechatronics and Materials Institute)
Kim, Jun-Sik (Department of Mechanical System Engineering, Kumoh National Institute of Technology)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.35, no.3, 2022 , pp. 175-182 More about this Journal
Abstract
In many engineering problems, the dynamic substructuring can be useful to analyze complex structures which made with many substructures, such as aircrafts and automotive vehicles. It was originally intended as a method to simplify the engineering problem. The powerful advantage to this is that computational efficiency dramatically increases with eliminating unnecessary degrees-of-freedom of the system and the system targets are concurrently satisfied. Craig-Bampton method has been widely used for the linear system reduction. Recently, multi-level optimization (such as target cascading), which propagates the system-level targets to the subsystem-level targets, has been widely utilized. To this concept, the genetic algorithm which one of the global optimization technique has been utilized to the substructure optimization. The number of internal modes for each substructure can be obtained by the genetic algorithm. Simultaneously, the reduced system meets the top-level targets. In this paper, various numerical examples are tested to verify this concept.
Keywords
dynamic substructuring; component mode synthesis; model order reduction; genetic algorithm;
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